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// hello

Clive Lewis

Software Engineer

Full-stack engineer shipping ML-powered products.

I hold an MS in Computer Science from Pace University (May 2025, GPA 3.86) and I’m a published IEEE researcher. I’ve shipped production features to 1,500+ paying customers and built agentic AI systems from scratch — task decomposition, tool use, retrieval, and the evaluation loops that keep them honest.

View projects[email protected]

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Highlights

  • 01

    Published Researcher

    Elective coursework I took out of curiosity turned into a peer-reviewed paper.

    First-author paper at IEEE/ACM CHASE 2025 on knee osteoarthritis detection — a supervised deep learning pipeline over 160+ MRI scans, reaching 76% accuracy and an AUC of 0.78.
    Read the research

  • 02

    Production Impact

    A 4-person team reporting to the CTO, and real users on the other end.

    At Keymate.AI I owned a Chrome extension end to end for 1,500+ paying customers, shipped a Google Gemini integration for real-time summarization, and built the CI/CD pipeline behind it with Jest and Playwright.
    See the experience

  • 03

    Unconventional Path

    Mechanical engineering in Mumbai to machine learning in New York.

    A BE in Mechanical Engineering, then Software Engineering Team Lead at Cognizant owning 190+ Java integration interfaces for enterprise clients including British Airways, then an MS in Computer Science — breadth, plus a track record of learning hard things quickly.
    Read the full arc

Currently

Open to Full-Stack, ML/AI, and Mobile engineering roles in the NYC metro area.

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What I work with

Languages
Python · Java · TypeScript · JavaScript · Dart · SQL · C++
AI/ML
Agentic systems (LangChain/LangGraph) · RAG · Vector DBs (Pinecone, Chroma) · LLM APIs (OpenAI, Gemini) · PyTorch
Frameworks
React · Next.js · Node.js/Express · Flutter
Data & Infra
PostgreSQL · MongoDB · DynamoDB · Supabase · AWS (EC2, RDS, CloudFront) · Docker · Kubernetes · CI/CD